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An improved electromagnetism-like algorithm for numerical optimization

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dc.citedby8
dc.contributor.authorTan J.-D.en_US
dc.contributor.authorDahari M.en_US
dc.contributor.authorKoh S.-P.en_US
dc.contributor.authorKoay Y.-Y.en_US
dc.contributor.authorAbed I.-A.en_US
dc.contributor.authorid38863172300en_US
dc.contributor.authorid36975118700en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid57189626122en_US
dc.contributor.authorid55568292900en_US
dc.date.accessioned2023-05-29T06:11:34Z
dc.date.available2023-05-29T06:11:34Z
dc.date.issued2016
dc.descriptionAlgorithms; Benchmarking; Global optimization; Iterative methods; Nonlinear equations; Probes; Bench-mark problems; Computational simulation; Electromagnetism-like algorithm; Electromagnetism-like mechanism algorithms; Electromagnetism-like mechanisms; Metaheuristic; Numerical optimizations; Split-Probe-Compare; Optimizationen_US
dc.description.abstractThis paper presents a new Electromagnetism-like Mechanism (EM) algorithm with Split, Probe and Compare feature (SPC-EM). The proposed algorithm replaces the local search segment of a standard EM with a new search scheme named Split, Probe, and Compare (SPC). A nonlinear equation is designed to systematically and dynamically adjust the length of the probes based on the outcome of the Compare segment in each iteration. Extensive computational simulations and comparisons on 10 different benchmark problems from the literature were carried out. Results show that the new modified mechanism outperformed all other algorithms involved in the benchmarking. We thus conclude that the proposed SPC-EM works well with the designed probe-length tuning equation in solving numerical optimization problems. � 2016 Elsevier B.V.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.tcs.2016.05.045
dc.identifier.epage84
dc.identifier.scopus2-s2.0-84973486070
dc.identifier.spage75
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84973486070&doi=10.1016%2fj.tcs.2016.05.045&partnerID=40&md5=d8ebd7b20abecd9d977c881d5dfc2c3c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22671
dc.identifier.volume641
dc.publisherElsevier B.V.en_US
dc.sourceScopus
dc.sourcetitleTheoretical Computer Science
dc.titleAn improved electromagnetism-like algorithm for numerical optimizationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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